An exercise-driven course on Advanced Python Programming that was battle-tested several hundred times on the corporate-training circuit for more than a decade. Written by David Beazley, author of the ...

Abstract: The nature of heterophilous graphs is significantly different from that of homophilous graphs, which causes difficulties in early graph neural network (GNN) models and suggests aggregations ...

Abstract: In artificial intelligence, it is crucial for pattern recognition systems to process data with uncertain information, necessitating uncertainty reasoning approaches such as evidence theory.

This is the official implementation of Statistical Hypothesis Testing for Auditing Robustness in Language Models (arxiv). Our paper proposes a new method for detecting and quantifying perturbations in ...

Although naturally occurring proteins form stable defined tertiary structures, it is well known that many proteins with non-natural sequences have unstructured conformations 1,2. This suggests that ...